{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fc61e1d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import  numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "98e0eb9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x=[1,2,3],y=[1,2,3])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b980c261",
   "metadata": {},
   "source": [
    "### 图表大小:context"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d635b25",
   "metadata": {},
   "source": [
    "* sns.set_context(context=None, font_scale=1, rc=None)\n",
    "* context值：paper, notebook, talk, poster\n",
    "* font_scale：字体缩放\n",
    "* 设置之后在jupyter中一直生效"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ade11426",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [1,2,3]\n",
    "y = [1,2,3]\n",
    "sns.set_context('notebook',font_scale=0.5)\n",
    "sns.lineplot(x=x,y=y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28cba84e",
   "metadata": {},
   "source": [
    "### 设置风格"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c45f5a01",
   "metadata": {},
   "source": [
    "* sns.set_style(style=None, rc=None)\n",
    "* style：darkgrid, whitegrid, dark, white, ticks\n",
    "* rc：字典格式，设置seaborn其他样式，例如：字体，子大小等"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a5a63d90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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OgiVOZEdXbzbgo8M6mFo7sGDKCCydGQ1PFQdW0cBhiRPZQZO5AznHbuLCjXoM13rjD8vHIibMT+pY5IRY4kQDSBAEXLhRj33HbqLNYsWyGdFInxoJdx6ZJzthiRMNEGNTOz4+XIyfSg2IHuaHDemJCNdyYBXZF0uc6DHZBAHfX63D5ydvwWYTsHpOHOZOioBSyUM7ZH8scaLHUG80Iztfh+Lqe0iKDMSLCxMxNGCI1LHIhbDEifqhy2bD0R9rcPB0GdzdFFi/MBEzxw7jkXkadCxxIpGq77YgK68IFXeakRIXjHXzExDo6yl1LHJRLHGiPuq02vDduQp8d64Sai93/H7paExOHMrdN0mKJU7UB6W1JmTl61DX0Iqpo0OwOnUkfDmwimSAJU7UA0tHF778vgzHLlYjwNcTf3p2LMbGcmAVyQdLnOgRblQYkZ2vQ4OpHbPHD8fKWbEY4sk/MiQvfEUS/Ya5vRO5J27h9LXbCAkcgr89Px4JIziwiuSJJU70K1dK9PjoSDGaWjuw8IkRWDojGh4cWEUy1mOJ5+TkwGQywcfHB6tWrcL7778Pi8WCzZs3Izc3F21tbVi2bBkiIyMHKy+RXTS1dmBP/o8481MdwrU+yFwxFtHDOLCK5K/HEk9NTYWfnx92796NoqIiJCcnY/jw4SgsLIS3tzcyMjKwb98+bNq0abDyEg0oQRBw7vod5By7CUunDc/MjMbCJzmwihxHjyWuVquxa9cubNq0CXV1dVAoFA98Jva3z/tKo+n/UCCt1rff19oTc4kjh1x3G834z/0/4ZLuLhIjA/HH51IwIlSeu285rNfDMJc49silEARBeNQP//znPyMsLAyxsbFIT0/Hu+++Cy8vL6xfvx5ZWVlwd3fHkiVLEBERIeqmBkMLbLZH3vaRtFpf6PXNoq+zN+YSR+pcNkHAqSu1+OJUKQRBwIqnY5E6IRwhIX5cLxGYS5z+5lIqFT1ufHvcie/cufOB56+++mr3423btokOQyS1O0YzsvOKUFJjwqioQLy4IBFaDqwiB8ZPp5BL6LLZcPiHanx1uhwe7kpsSE/EjGQOrCLHxxInp1dV34ysPB0q65sxIV6LjLR4BPhwYBU5B5Y4Oa1Oaxe+OVuB/PNV8PZyx0vLxmBigpa7b3IqLHFySrdqTMjKL8JtgxnTx4RiVepI+AxRSR2LaMCxxMmptHdYcaCgDCcu1SDIzxOvPDcOY2I0UscishuWODmNX8oN2JtfDENTO1InhGP50zEcWEVOj69wcnit7Z347PhNFP58B6FBavx97QTERwRIHYtoULDEyaFdKr6LT46UoNnciUVTI7FkehRU7hxYRa6DJU4OydRiwSdHS3CpWI8RQ33wp2fHITJUnketieyJJU4ORRAEFP58B7kn7g+sWvF0DOZPGcGBVeSyWOLkMBrutWHv4WJcLzciLtwfGxYmYpjGW+pYRJJiiZPs2QQBJy7V4EBBGQBg7bx4zJ4wHEoe2iFiiZO83Ta0Iitfh1s1JoyJDsILCxIQ7M+BVUT/whInWbJ22XDoQhW+LiyHp8oNGxclYdqYUB6ZJ/oNljjJTuWdZmTlFaHqbgsmJWixdl48/DmwiuihWOIkGx2dXfi6sAKHLlTBV63C1mfGYGLCUKljEckaS5xkoaT6HrLydag3mjEjeRhWpcbB24sDq4h6wxInSbVZrDhQUIoTl2sR7O+FP69KwejoIKljETkMljhJ5ucyAz46pIOxyYK5E+8PrPLy4EuSSAz+iaFB19TagX98ewNnf7mDYRo1XsuYiLhwf6ljETmkXku8vb0d27dvR2ZmJkJCQpCVlYWysjLMmDED165dQ3BwMNLS0hAVFTUIccmRCYKAi8V65By7iWZzBxZPi8TvpnFgFdHj6LXE9Xo9EhMTAQAqlQpbtmzB22+/jcWLF+PQoUPw9/eHWq0WdVONxqd/aQFotfIccsRcPTM2tWP3gZ9w/pc7iA33x//cMhUxw+W3+5bLev0Wc4njSrl6LfGIiAgEBAR0P79x4wZGjx4Nm82G119/HSqVCgcPHsTGjRv7fFODoQU2myA6rFbrC72+WfR19sZcjyYIAs5cu43PTtyCtcuGZ2fFYm36KBiNrZJn+y05rNfDMJc4zpZLqVT0uPHt83viRqMRnp6euHTpEhYtWgQA+OCDDxAcHIw5c+aIDkbOT3+vDXsP6XCjohHx4f5Yn56E0CA13DhxkGjA9KnEly9f3v143bp13Y+3b98+8InI4dlsAo5fqsGB70uhUCiwLi0eT4/nwCoie+CnU2hA1Ta0Iju/CKW1TUiO0eCF+QnQ+HtJHYvIabHEaUBYu2zIP1+Jb85WwFPlhs2LR+HJ0SEcWEVkZyxxemzlt5uQladDjb4FU5KG4vm58fDz9pA6FpFLYIlTv3V0duGrM+U4/EMV/Lw98MflyRgfr5U6FpFLYYlTvxRXNSIrX4e7jW14atwwPDc7DmoOrCIadCxxEqXNYsUXp0px6sr9gVV/WZ2CUVEcWEUkFZY49dm10gbsPVSMe80WpE2OwDMzY+DpwSPzRFJiiVOvms0dyDl+E+ev1yMs2BsvLRuDWBkemSdyRSxxeiRBEPBD0V18erQEbRYrlkyPwqKpUVC588QlkVywxOmhGpst+PhwMa7eakBUqC/+W3oSwof2f3AZEdkHS5weIAgCvv+pDp+fvAVrl4DnZsdh3uRwuCm5+yaSI5Y4dbvbaEZ2vg66qntIiAjA+vREhASKGzNMRIOLJU6w2QQcvViNg9+XQalU4IUFCXhqXBgHVhE5AJa4i6vRtyArT4fy200YG3t/YFWQHwdWETkKlriLsnbZ8N25Snx7tgJDPN2xZckoPJHEgVVEjoYl7oLK6pqQlV+EWn0rnhwVgtVzR8JPzYFVRI6IJe5CLJ1d+Op0GY78WI0AH09krhiLlJHBUsciosfAEncRRZWNyM4vgv5eO2alhGHlrDiovfjbT+To+KfYyZnbrfji1C0UXK3D0IAh+Oua8UiKDJQ6FhENkF5LvL29Hdu3b0dmZibCw8Px5ptvIjg4GGlpaThz5gzMZjMmTZqECRMmDEZeEuGH63ew6/MrMLV2YMGUEVg6MxqeKg6sInImvR7D0+v1SExM7H5eV1eHzs5OqNVqGI1GbNmyBYWFhXYNSeI0mTvwwdfX8R97LsBniAr/44VJeG5OHAucyAn1uhOPiIhAQEAAAMBms+H111+HSqXCwYMH4eZ2vxTEfixNo+n/DA6t1rff19qTHHIJgoCCK7X48ODPaLN04vn5iVg5Z6QsB1bJYb0ehrnEYS5x7JGrz++JG41GqFQqfPDBBwgODsacOXNw5swZ7NmzB9OnTxd1U4OhBTabIDqsVusLvb5Z9HX2JodcxqZ2fHS4GNdKDYgJ88OGhSlIGTVM8lwPI4f1ehjmEoe5xOlvLqVS0ePGt08lvnz58u7H27dv737867dZSBo2QcD3V+8PrLLZBKyeE4e5kyKgVPLQDpEr4KdTHFi98f7AquLqe0iKDMSLCxMxNGCI1LGIaBCxxB1Ql82Goz/W4ODpMri7KbB+YSJmjh3GI/NELogl7mCq77YgK68IFXeakRIXjHXzExDo6yl1LCKSCEvcQXRabfj2bAXyzldC7eWO3y8djcmJQ7n7JnJxLHEHUFprQla+DnUNrZg6OgRr5sbDZ4hK6lhEJAMscRmzdHThy+/LcOxiNQJ8PfGnZ8dibCwHVhHR/8cSl6kbFUZk5+vQYGrH7PHDsXJWLIZ48reLiB7EVpAZc3snck/cwulrtxESOAR/e348EkZwYBURPRxLXEYul+jx8ZFiNLd2YuGTI7B0ejQ8OO+EiHrAEpcBU2sHPj1agou6u4gY6oNtK8ciKtRP6lhE5ABY4hISBAHnrt9BzrGbsHR24ZmnYrDwiRFwd5PfwCoikieWuEQMpvsDq34uMyB2uB82LExCWLC31LGIyMGwxAeZTRBw6kotvjhVCkEQsGbuSKROCOfAKiLqF5b4ILpjNCM7rwglNSaMigrEiwsSoeXAKiJ6DCzxQdBls+HwD9X46nQ5PNyV2JCeiBnJHFhFRI+PJW5nVfXNyMrTobK+GRPitchIi0eADwdWEdHAYInbSae1C18XViD/fBV81Cq8tGwMJiUOlToWETkZlrgd3KoxISu/CLcNZkwfE4pVqSM5sIqI7IIlPoDaO6w4UFCGE5dqEOTniVeeG4cxMRqpYxGRE2OJD5Bfyg3Ym18MQ1M7UieEY/nTMRxYRUR212vLtLe3Y/v27cjMzERoaCjeeusteHh4YOXKlcjNzUVwcDDS0tIQFRU1CHHlp6WtE59+dhnHf6xGaJAaf187AfERAVLHIiIX0WuJ6/X67m+1FwQBW7duxeXLl2E0GlFXVwd/f3+o1Wq7B5Wji7q7+ORoCVraOrFoaiSWTI+Cyp0Dq4ho8CgEQRB6+0VffvklpkyZgvDwcFy8eBE3btxARkYG9Ho9VCoVDh48iI0bNw5GXllobGrH+wev4ey124gJ80fmqhTEhgdIHYuIXFCf37Q1Go1QKBR4++23MWvWLJSUlODzzz9HcHAw5syZI+qmBkMLbLZe/+74N1qtL/T6ZtHXDRRBEFD48x3knrgJS6cNK56OwfwpIzAs1F/SXI8i9Xo9CnOJw1ziOFsupVIBjcbnkT/vU4kvX768+/Hnn3/e/Xj79u2iAzmqhntt2Hu4GNfLjYgL98eGhYkYpuHAKiKSFj8+0QubIODEpRocKCgDAKydF4/ZE4ZDySPzRCQDLPEe3Da0Iitfh1s1JoyJDsILCxIQ7M+BVUQkHyzxh7B22XDoQhW+LiyHp8oNGxclYdqYUA6sIiLZYYn/RuWdZmTlFaHqbgsmJWixNi0B/t4eUsciInoolvh/6ei8P7Dq0IUq+KpV2PrMGExM4MAqIpI3ljiAkup7yMrXod5oxozkYViVGgdvLw6sIiL5c+kSb7NYcaCgFCcu1yLY3wt/XpWC0dFBUsciIuozly3xa6UGfHRYh8YmC+ZOCsfyp2Lg5eGyy0FEDsrlWqulrRM5x27i3PU7GKZR47V1ExE33F/qWERE/eIyJS4IAi4W6/HpkWK0tluxeFoUfjctCip3pdTRiIj6zSVK/F6LBR8fLsaVmw2IDPXFK6sSMSLEV+pYRESPzalLXBAEnLl2G5+duAVrlw3PzopF2pQIuCm5+yYi5+C0Ja6/14a9h3S4UdGI+IgArF+YiNAg15x7TkTOy+lK3GYTcPxSDQ58XwqlQoF18xPwdEoYB1YRkVNyqhKvbWhFdl4RSuuakByjwYsLEhDk5yV1LCIiu3GKErd22ZB3vhLfnq2Al4c7Nv9uFJ4cFcKBVUTk9By+xMtvNyErT4cafQumJA3F83Pj4ceBVUTkIhy2xDs6u/DVmXIc/qEKft4e+OPyZIyP10odi4hoUDlkiRdXNSIrX4e7jW14alwYnpsdCzUHVhGRC3KoEje3d+Kjw8U4daUW2gAv/HV1CpKiOLCKiFxXryXe3t6O7du3IzMzE+Hh4fjwww/R1taGZcuW4fTp0zCbzZg0aRImTJhg16DXy43Ye0gHQ1M70iZH4JmZMfD0cLPrPYmI5K7XEtfr9UhMTAQAGAwGeHt7IyMjA/v27YPZbEZmZiZ27dolqsQ1Gh/RQb/86CKGeKnwzouTkRApv923VivPY/zMJQ5zicNc4tgjV68lHhERgYCAAACAm9v9na9CoYBCoXjguRgGQwtsNkHUNa+uHo9hoX4wGluh1zeLutbetFpf2WUCmEss5hKHucTpby6lUtHjxrfPQ0SMRiM6OzvR0NCAPXv2IC0tDZ6entizZw+mT58uOphYnh5ucHPjzBMiol/r0//YXL58effjbdu2dT/etGnTwCciIqI+49aWiMiBscSJiBwYS5yIyIGxxImIHBhLnIjIgUly7F6p7P+I2Me51p6YSxzmEoe5xHGmXL1doxAEQdypGyIikg2+nUJE5MBY4kREDowlTkTkwFjiREQOjCVOROTAWOJERA6MJU5E5MBY4kREDowlTkTkwGT7bfdy+YLmnnKFhobirbfegoeHB1auXInc3FwEBwcjLS0NUVFRkuUKDw/Hm2++2Z3lzJkzslivkJAQZGVloaysDDNmzMC1a9ckW6+cnByYTCb4+Phg1apVeP/992GxWLB582bk5uZ2v9YiIyMly7Vo0SK89957AICtW7finXfeQXR0NFasWAGNRiNZroyMDLz22mvdWQ4cOCCL9UpPT8f+/ftx9epVbNy4Efv375dsvfLy8mAwGKDRaDBv3jy7vr5kuxN/2Bc0b968GUePHoXRaMSWLVtQWFgoaS5BELB161ZMnDgRRqMRdXV16OzshFqtljQXgAeyyGW9VCoVtmzZgqCgICxevFjS9UpNTcX69euh1+tRVFSE5ORkLF26FIWFhQ+81qTM5enpiZdffhnR0dEwGAwwmUywWq3w8vKSNJfZbO7OYrFYZLNeQUFB2LBhA0aOHImkpCRJ1ys9PR3A/Y6w9+tLtiVujy9oHuhcKpUKZWVlqKurw8SJE/H6669jzZo1+OabbyTNZbPZHsgil/UCgBs3bmD06NH/lnGwqdVq7Nq1C+vXr4ebm1v3a+tffvtcilxqtRrnz5+Hv78/RowYgTfeeAMzZszA6dOnJc3l5ubWneXq1asA5LFeAHDq1CnMnj37gYxSrFd5eTnWrVsHnU5n99eXbEv8X6T+guaectXW1uLtt99GS0sLSkpK8MEHH+Czzz6TPJder38gi1zWS6/X49KlS5g6dSoASLpeO3bsgFKpREFBAUaOHIkLFy4gLy8PM2bMeOC1JmUunU6H7OxsVFdXo6GhAbt27cLJkycxfvx4SXN1dHR0Z5k4caJs1qujowNFRUUYN27cAxmlWK9z587hww8/REJCgt1fX5xiSETkwGS/EyciokdjiRMROTCWOBGRA2OJExE5MJY4EZEDY4kTETkwljgRkQP7f3ob1xUb8qIZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('darkgrid')\n",
    "sns.lineplot(x=x,y=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "4f790ce2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'axes.facecolor': '#EAEAF2',\n",
       " 'axes.edgecolor': 'white',\n",
       " 'axes.grid': True,\n",
       " 'axes.axisbelow': True,\n",
       " 'axes.labelcolor': '.15',\n",
       " 'figure.facecolor': 'white',\n",
       " 'grid.color': 'white',\n",
       " 'grid.linestyle': '-',\n",
       " 'text.color': '.15',\n",
       " 'xtick.color': '.15',\n",
       " 'ytick.color': '.15',\n",
       " 'xtick.direction': 'out',\n",
       " 'ytick.direction': 'out',\n",
       " 'lines.solid_capstyle': 'round',\n",
       " 'patch.edgecolor': 'w',\n",
       " 'patch.force_edgecolor': True,\n",
       " 'image.cmap': 'rocket',\n",
       " 'font.family': ['sans-serif'],\n",
       " 'font.sans-serif': ['Arial',\n",
       "  'DejaVu Sans',\n",
       "  'Liberation Sans',\n",
       "  'Bitstream Vera Sans',\n",
       "  'sans-serif'],\n",
       " 'xtick.bottom': False,\n",
       " 'xtick.top': False,\n",
       " 'ytick.left': False,\n",
       " 'ytick.right': False,\n",
       " 'axes.spines.left': True,\n",
       " 'axes.spines.bottom': True,\n",
       " 'axes.spines.right': True,\n",
       " 'axes.spines.top': True}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 获取当前风格\n",
    "sns.axes_style()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72a880d8",
   "metadata": {},
   "source": [
    "### 设置字体和支持中文"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9171c9eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pointplot(x=[1,2,3],y=[4,5,6])\n",
    "plt.xlabel('表格')\n",
    "sns.set_style({\"font.sans-serif\":['simhei','Droid Sans Fallback']})\n",
    "#sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "938cd3c6",
   "metadata": {},
   "source": [
    "### 设置临时风格\n",
    "sns.axes_style(style = None,rc=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cb1be0ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def myplot():\n",
    "    sns.lineplot(x=x,y=y)\n",
    "with sns.axes_style(\"whitegrid\"):\n",
    "    plt.subplot(211)\n",
    "    myplot()\n",
    "plt.subplot(212)\n",
    "myplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9cea4b34",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
